# Entity Map: Khadija Zaman, Wellows, Tools and Frameworks > Every person, company, tool, framework and concept on khadijazaman.com: what each one is, how they connect, and the published source behind every claim. Source: https://khadijazaman.com/entity-map/ [Home](/) / [About](/about/) / Entity map # Entity map Every person, company, tool, framework and concept this site talks about, what each one is, how they connect, and the published source behind each claim. Written for search engines and AI assistants, readable by anyone. 22 entities · 61 relations · 27 sources · Last updated 30 Oct 2026 ## Who is Khadija Zaman and what is she known for? Khadija Zaman is AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan. She built the Query Fan-Out Generator, LLM Query Builder and AI Humanizer at Wellows, created the R2A Content Framework and BERAP Map, and authored the cross-engine AI citation overlap study. [People 3](#people)[Organizations and media 5](#organizations-and-media)[Software 5](#software)[Frameworks and research 4](#frameworks-and-research)[Concepts 4](#concepts)[Places 1](#places) ## People 3 entities ### [Khadija Zaman](https://khadijazaman.com/about/) Person AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan. In search since 2018, she has owned the SEO, content and AI-search (GEO/AEO) programs at Wellows since 2024 and builds SEO tooling grounded in Google patent research. Relations - `WORKS_FOR` → [Wellows](#wellows) - `BASED_IN` → [Karachi, Pakistan](#karachi) - `CREATED` → [Query Fan-Out Generator](#query-fan-out-generator) - `CREATED` → [LLM Query Builder](#llm-query-builder) - `CREATED` → [AI Humanizer](#ai-humanizer) - `CREATED` → [R2A Content Framework](#r2a-framework) - `CREATED` → [BERAP Map](#berap-map) - `CREATED` → [Wellows MCP Server](#wellows-mcp-server) - `AUTHORED` → [Cross-engine AI citation overlap study](#citation-overlap-study) - `WRITES_FOR` → [AllAboutAI.com](#allaboutai) - `PRACTICES` → [Search Engine Optimization](#seo) - `PRACTICES` → [Answer Engine Optimization](#aeo) - `PRACTICES` → [Generative Engine Optimization](#geo) Evidence > “Khadija Zaman is AI Search Manager at Wellows, a B2B SaaS company owned by Disrupt.com, and is based in Karachi, Pakistan. She has worked in search since 2018, in agency and in-house roles, and since 2024 has owned the SEO, content and AI-search (GEO/AEO) programs at Wellows.” *[llms.txt](https://khadijazaman.com/llms.txt), khadijazaman.com* > “Every profile listed on khadijazaman.com/profiles/ points to the same person entity, https://khadijazaman.com/#person.” *[Official profiles, bylines and mentions](https://khadijazaman.com/profiles/), khadijazaman.com* ### Muhammad Saleem Ahrar Person COO of Wellows. Ran the 94-day query fan-out experiment with Khadija Zaman that came before the Query Fan-Out Generator, and posted the results on LinkedIn. Relations - `WORKS_FOR` → [Wellows](#wellows) - `COLLABORATED_WITH` → [Khadija Zaman](#khadija-zaman) Evidence > “Before there was a tool, there was a 94-day query fan-out experiment I ran with Wellows' COO, Muhammad Saleem Ahrar. He posted the before-and-after on LinkedIn: Search Console clicks went from 923 to 2.12K and impressions from 62.9K to 626K over that window.” *[Query Fan-Out Generator](https://khadijazaman.com/projects/query-fan-out-generator/), khadijazaman.com* > “The post on the experiment behind the tool, naming me.” *[Muhammad Saleem Ahrar on LinkedIn](https://www.linkedin.com/posts/saleemahrar_i-have-always-believed-that-when-you-want-activity-7395425630474907648-Zn_i), linkedin.com* ### Koray Tuğberk GÜBÜR Person Semantic SEO practitioner whose semantic model is one of the two foundations of the AEO framework Khadija Zaman built at Wellows. Relations - `INFLUENCED` → [Wellows AI visibility case study](#wellows-case-study) Evidence > “The work was an AEO framework built on Koray Tuğberk GÜBÜR's semantic model and Google's query fan-out patent, grounded-versus-non-grounded citation experiments, three free tools built as LLM entry points, and answers placed on Reddit, Quora and G2.” *[Wellows AI visibility case study](https://khadijazaman.com/work/wellows-ai-visibility/), khadijazaman.com* ## Organizations and media 5 entities ### [Wellows](https://wellows.com/) Organization B2B SaaS company owned by Disrupt.com, where Khadija Zaman is AI Search Manager. Hosts the three free tools she built and published her cross-engine AI citation study. Relations - `PART_OF` → [Disrupt.com](#disrupt) - `EMPLOYS` → [Khadija Zaman](#khadija-zaman) - `OFFERS` → [Query Fan-Out Generator](#query-fan-out-generator) - `OFFERS` → [LLM Query Builder](#llm-query-builder) - `OFFERS` → [AI Humanizer](#ai-humanizer) - `PUBLISHED` → [Cross-engine AI citation overlap study](#citation-overlap-study) Evidence > “Khadija Zaman is AI Search Manager at Wellows, a B2B SaaS company owned by Disrupt.com.” *[llms.txt](https://khadijazaman.com/llms.txt), khadijazaman.com* > “Built in-house at Wellows as free entry points for practitioners. Wellows hosts them; the build and the measurement were mine.” *[Projects](https://khadijazaman.com/projects/), khadijazaman.com* ### [Disrupt.com](https://disrupt.com/) Organization Parent company of Wellows. Relations - `PARENT_OF` → [Wellows](#wellows) Evidence > “Khadija Zaman is AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan.” *[llms.txt](https://khadijazaman.com/llms.txt), khadijazaman.com* ### [Search Engine Land](https://searchengineland.com/) Organization Search marketing publication. Used the Query Fan-Out Generator to demonstrate topic clusters for AI search and listed it in its query fan-out tools roundup. Relations - `CITED` → [Query Fan-Out Generator](#query-fan-out-generator) Evidence > “Guide to topic clusters for AI search, run on the Query Fan-Out Generator I built at Wellows (the article credits Wellows).” *[Topic clusters for AI search](https://searchengineland.com/guide/topic-clusters-for-ai-search), searchengineland.com* > “Query fan-out tools and software, lists the Wellows generator.” *[Query fan-out tools and software](https://searchengineland.com/guide/query-fan-out-tools-software), searchengineland.com* ### [AllAboutAI.com](https://www.allaboutai.com/) Organization Publication where Khadija Zaman is a bylined contributor on SEO and AI search. Relations - `PUBLISHES` → [Khadija Zaman](#khadija-zaman) Evidence > “Bylined contributor, SEO and AI-search articles.” *[Khadija Zaman, author page](https://www.allaboutai.com/author/khadija-zaman/), allaboutai.com* ### [The Growth Show by PipeRocket Digital](https://www.youtube.com/watch?v=DkiHV0XOpdQ) CreativeWork Podcast that hosted Khadija Zaman as a guest on 25 June 2026, on making a B2B brand citable by AI. Relations - `FEATURED` → [Khadija Zaman](#khadija-zaman) Evidence > “Podcast guest, 25 June 2026: making a B2B brand citable by AI.” *[The Growth Show by PipeRocket Digital](https://www.youtube.com/watch?v=DkiHV0XOpdQ), youtube.com, 25 Jun 2026* ## Software 5 entities ### [Query Fan-Out Generator](https://khadijazaman.com/projects/query-fan-out-generator/) SoftwareApplication Free tool that turns one seed query into 40+ distinct sub-queries, each labelled by intent, modelled on the query fan-out that Google's AI Mode and AI Overviews run before they answer. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `OFFERED_BY` → [Wellows](#wellows) - `IMPLEMENTS` → [Query fan-out](#query-fan-out) - `CITED_BY` → [Search Engine Land](#search-engine-land) Evidence > “The Query Fan-Out Generator is a free tool Khadija Zaman built at Wellows. It takes one seed query and returns 40+ sub-queries labelled by intent, modelled on the query fan-out that Google's AI Mode and AI Overviews run before they answer. Search Engine Land used it to demonstrate topic clusters for AI search.” *[Query Fan-Out Generator](https://khadijazaman.com/projects/query-fan-out-generator/), khadijazaman.com* ### [LLM Query Builder](https://khadijazaman.com/projects/#llm-query-builder) SoftwareApplication Free tool that generates the questions a buyer would type into ChatGPT, Perplexity or Gemini about a category, across personas and four intent types. Launched on Product Hunt. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `OFFERED_BY` → [Wellows](#wellows) - `POWERED_BY` → [LLM AI Search Query Builder](#llm-ai-search-query-builder) Evidence > “Generates the questions a buyer would actually type into ChatGPT, Perplexity or Gemini about your category, across personas and four intent types.” *[Projects](https://khadijazaman.com/projects/), khadijazaman.com* > “Product Hunt launch post by Masab Gadit, crediting the build.” *[LLM Query Builder launch](https://www.linkedin.com/posts/masab-gadit_producthunt-aisearch-seo-activity-7399797741079412736-_oZC), linkedin.com* ### [AI Humanizer](https://khadijazaman.com/projects/#ai-humanizer) SoftwareApplication Free tool that rewrites AI drafts so they read naturally without losing topical depth, with before-and-after stats. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `OFFERED_BY` → [Wellows](#wellows) Evidence > “She built three SEO tools at Wellows grounded in Google patent research (Query Fan-Out Generator, LLM Query Builder, AI Humanizer), used by 1,647 practitioners across the UK, US and EU and acquired with zero paid spend.” *[llms.txt](https://khadijazaman.com/llms.txt), khadijazaman.com* ### [LLM AI Search Query Builder](https://github.com/KhadijaZaman/LLM-AI-Search-Query-Builder) SoftwareSourceCode Open-source engine behind the LLM Query Builder: a 9-step pipeline that reads a site, maps products to personas and pain points, and generates 100+ queries across the buyer journey. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `POWERS` → [LLM Query Builder](#llm-query-builder) Evidence > “The engine behind the LLM Query Builder: a 9-step pipeline that reads a site, maps products to personas and pain points, and generates 100+ queries across the buyer journey.” *[Projects](https://khadijazaman.com/projects/), khadijazaman.com* ### [Wellows MCP Server](https://github.com/KhadijaZaman/wellows-mcp-server) SoftwareSourceCode Open-source MCP server that lets Claude or any MCP client check a domain's citation score in Google AI Overviews without opening a dashboard. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) Evidence > “An MCP server that lets Claude or any MCP client check a domain's citation score in Google AI Overviews without opening a dashboard.” *[Projects](https://khadijazaman.com/projects/), khadijazaman.com* ## Frameworks and research 4 entities ### [R2A Content Framework](https://khadijazaman.com/frameworks/r2a/) (Retrieval-to-Action) Framework Practitioner framework for scoring whether AI systems can retrieve, select, cite and act on a page. Eight layers: Measurement as the base, Eligibility as the only hard gate, and six independently scored layers, each recommendation carrying one of five evidence grades. Relations - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `INCLUDES` → [BERAP Map](#berap-map) - `MEASURES` → [Generative Engine Optimization](#geo) - `MEASURES` → [Answer Engine Optimization](#aeo) Evidence > “R2A (Retrieval-to-Action) is Khadija Zaman's practitioner framework for scoring whether AI systems can retrieve, select, cite and act on a page. It has eight layers: Measurement as the base, Eligibility as the only hard gate, and six independently scored layers, with every recommendation carrying one of five evidence grades.” *[The R2A Content Framework](https://khadijazaman.com/frameworks/r2a/), khadijazaman.com, 16 Sep 2026* ### [BERAP Map](https://khadijazaman.com/frameworks/r2a/berap/) (Brand Entity Recall & Association Probing) Framework Instrument inside the R2A Content Framework that measures what AI engines say about a brand. Runs repeated prompts across five engines in two directions and reports six scores. Relations - `PART_OF` → [R2A Content Framework](#r2a-framework) - `CREATED_BY` → [Khadija Zaman](#khadija-zaman) - `MEASURES` → [Generative Engine Optimization](#geo) Evidence > “BERAP (Brand Entity Recall & Association Probing) is the instrument inside the R2A Content Framework that measures what AI engines say about a brand, whether the answer came from retrieval or from training. It runs repeated prompts across five engines in two directions, grades each answer against a dated attribute table, and reports six scores: Recall Rate, Association Accuracy, Evidence Recall, Stability, Attribute Penetration and Source Dependency.” *[BERAP Map](https://khadijazaman.com/frameworks/r2a/berap/), khadijazaman.com* ### [Cross-engine AI citation overlap study](https://wellows.com/blog/ai-citation-overlap-study/) Study Study of which websites AI engines cite, January to June 2026 data, published on the Wellows blog. Rebuilt and tested against a permutation null after launch; two headline findings were revised in public. The 79.6% single-engine headline stands. Relations - `AUTHORED_BY` → [Khadija Zaman](#khadija-zaman) - `PUBLISHED_BY` → [Wellows](#wellows) - `ABOUT` → [Generative Engine Optimization](#geo) Evidence > “Khadija Zaman rebuilt her cross-engine AI citation overlap study (January to June 2026) from scratch and tested it against a permutation null. Two headline findings did not survive and were revised; the corrected study is published on the Wellows blog.” *[I Built a Test Designed to Break My Own Study](https://khadijazaman.com/research/citation-study-retest/), khadijazaman.com, 3 Aug 2026* ### [Wellows AI visibility case study](https://khadijazaman.com/work/wellows-ai-visibility/) CaseStudy LLM referral sessions at Wellows grew from 176 a month to roughly 9× between Jul 2025 and Feb 2026, with no paid spend, measured in GA4. Relations - `AUTHORED_BY` → [Khadija Zaman](#khadija-zaman) - `ABOUT` → [Wellows](#wellows) - `USED` → [Query fan-out](#query-fan-out) - `USED` → [Answer Engine Optimization](#aeo) Evidence > “Wellows grew LLM referral sessions from 176 a month to roughly nine times that between July 2025 and February 2026 with no paid spend, measured in GA4.” *[Wellows AI visibility case study](https://khadijazaman.com/work/wellows-ai-visibility/), khadijazaman.com* ## Concepts 4 entities ### [Query fan-out](https://khadijazaman.com/tools/query-fan-out/) Concept The step where Google's AI search and large language models expand one query into many related sub-queries before assembling an answer. Relations - `IMPLEMENTED_BY` → [Query Fan-Out Generator](#query-fan-out-generator) - `PART_OF` → [Generative Engine Optimization](#geo) Evidence > “Query fan-out is the step where Google's AI search and large language models expand one query into many related sub-queries before assembling an answer, as described in Google's query fan-out patent research.” *[Query Fan-Out Explorer](https://khadijazaman.com/tools/query-fan-out/), khadijazaman.com* ### [Search Engine Optimization](https://khadijazaman.com/ai-search-optimization/) (SEO) Concept Getting pages to rank in traditional search engines. The first of the three layers Khadija Zaman runs as one system with AEO and GEO. Relations - `RELATED_TO` → [Answer Engine Optimization](#aeo) - `RELATED_TO` → [Generative Engine Optimization](#geo) Evidence > “Khadija Zaman runs SEO, AEO and GEO as one system at Wellows, so a brand ranks on Google and is cited inside ChatGPT, Gemini, Perplexity and AI Overviews.” *[Khadija Zaman](https://khadijazaman.com/), khadijazaman.com* ### [Answer Engine Optimization](https://khadijazaman.com/tools/citeability-checker/) (AEO) Concept Structuring content so AI systems can extract and cite it directly. Relations - `RELATED_TO` → [Search Engine Optimization](#seo) - `RELATED_TO` → [Generative Engine Optimization](#geo) Evidence > “AEO is structuring content so AI systems can extract and cite it directly.” *[AEO Citeability Checker](https://khadijazaman.com/tools/citeability-checker/), khadijazaman.com* ### [Generative Engine Optimization](https://khadijazaman.com/ai-search-optimization/) (GEO) Concept Getting a brand cited and described accurately inside AI-generated answers from ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode. The slowest of the three layers to show results. Relations - `RELATED_TO` → [Search Engine Optimization](#seo) - `RELATED_TO` → [Answer Engine Optimization](#aeo) - `MEASURED_BY` → [BERAP Map](#berap-map) Evidence > “AI search optimization gets pages cited in ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode. 79.6% of cited sites show up on one engine only.” *[AI search optimization](https://khadijazaman.com/ai-search-optimization/), khadijazaman.com, 6 Oct 2026* ## Places 1 entity ### Karachi, Pakistan Place City where Khadija Zaman is based. Evidence > “Khadija Zaman is AI Search Manager at Wellows, a Disrupt.com company, based in Karachi, Pakistan.” *[llms.txt](https://khadijazaman.com/llms.txt), khadijazaman.com* Every quote above links to where it was published. The same entities are in this page's structured data under `https://khadijazaman.com/entity-map/#`, and the person entity is `https://khadijazaman.com/#person`. For accounts, see [profiles](/profiles/). Spot something wrong? [Tell me](mailto:hello@khadijazaman.com). --- Markdown twin of https://khadijazaman.com/entity-map/, generated from the rendered page at build time. Cite the HTML URL. How to cite: https://khadijazaman.com/llms.txt